Mohamed Hamlich
Impact in
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- Industrial Vision Systems and Defect Detection
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- Machine Learning and Data Classification
- Anomaly Detection Techniques and Applications
Papers in
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- Anomaly Detection Techniques and Applications 10
- Machine Learning and Data Classification 5
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- Distributed Control Multi-Agent Systems 4
- Network Security and Intrusion Detection 4
- Co-authors
- Adeel Ahmad (5 shared papers)Ladjel Bellatreche (2 shared papers)Mohammed Ramdani (4 shared papers)S. Tahiri (1 shared paper)Rajae Lakhmiri (1 shared paper)Saïd Lazar (1 shared paper)Carlos Ordońẽz (1 shared paper)Denis Hamad (2 shared papers)
In The Last Decade
Mohamed Hamlich
27 papers receiving 225 citations
Peers
Comparison fields: 5 of 79
- Industrial and Manufacturing Engineering 35
- Artificial Intelligence 81
- Computer Networks and Communications 46
- Computer Vision and Pattern Recognition 41
- Medical Laboratory Technology 2
Countries citing papers authored by Mohamed Hamlich
This map shows the geographic impact of Mohamed Hamlich's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Mohamed Hamlich with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mohamed Hamlich more than expected).
Fields of papers citing papers by Mohamed Hamlich
This network shows the impact of papers produced by Mohamed Hamlich. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Mohamed Hamlich. The network helps show where Mohamed Hamlich may publish in the future.
Co-authors
The 14 scholars most cited alongside Mohamed Hamlich, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 35 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2022 | 37 | |
| 2 | 2019 | 35 | |
| 3 | 2019 | 27 | |
| 4 | 2022 | 18 | |
| 5 | 2020 | 14 | |
| 6 | 2019 | 13 | |
| 7 | 2020 | 12 | |
| 8 | 2021 | 11 | |
| 9 | 2022 | 10 | |
| 10 | 2023 | 9 | |
| 11 | 2021 | 9 | |
| 12 | 2022 | 7 | |
| 13 | 2021 | 7 | |
| 14 | 2022 | 4 | |
| 15 | 2012 | 4 | |
| 16 | 2021 | 4 | |
| 17 | Data classification by Fuzzy Ant-Miner | 2012 | 3 |
| 18 | 2020 | 2 | |
| 19 | 2013 | 2 | |
| 20 | 2024 | 1 |
About Mohamed Hamlich
Mohamed Hamlich is a scholar working on Artificial Intelligence, Computer Networks and Communications, Computer Vision and Pattern Recognition, Control and Systems Engineering and Electrical and Electronic Engineering, having authored 35 papers that have together received 237 indexed citations. Recurring topics across this work include Anomaly Detection Techniques and Applications (10 papers), Robotic Path Planning Algorithms (7 papers), Industrial Vision Systems and Defect Detection (6 papers), Machine Learning and Data Classification (5 papers), Smart Grid Security and Resilience (4 papers), Distributed Control Multi-Agent Systems (4 papers), Data Mining Algorithms and Applications (4 papers) and Network Security and Intrusion Detection (4 papers). The work is most often cited by research in Industrial and Manufacturing Engineering (35 citations), Artificial Intelligence (81 citations), Computer Networks and Communications (46 citations), Computer Vision and Pattern Recognition (41 citations) and Medical Laboratory Technology (2 citations). Mohamed Hamlich has collaborated with scholars based in Morocco, France and Spain. Frequent co-authors include Adeel Ahmad, Ladjel Bellatreche, Mohammed Ramdani, S. Tahiri, Rajae Lakhmiri, Saïd Lazar, Carlos Ordońẽz, Denis Hamad, Ali Siadat and Sebastián Ventura. Their work appears in journals such as Journal Of Big Data, SoftwareX, The International Journal of Advanced Manufacturing Technology, Journal of environmental chemical engineering and Progress in Artificial Intelligence.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.